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Al‐Hashami S, Khamis F, Al‐Yahyay M, Al‐Dowaiki S, Al‐Mashaykhi L, Al‐Khalili H, Chandwani J, Al‐Salmi I, Al‐Zakwani I. Therapeutic plasma exchange: A potential therapeutic modality for critically ill adults with severe acute respiratory syndrome coronavirus 2 infection. J Clin Apher 2022; 37:563-572. [PMID: 36102158 PMCID: PMC9538054 DOI: 10.1002/jca.22011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Revised: 04/30/2022] [Accepted: 08/19/2022] [Indexed: 11/10/2022]
Abstract
BACKGROUND Severe acute respiratory syndrome coronavirus 2 infection can be severe and fatal due to cytokine storm. Therapeutic plasma exchange (TPE) potentially mitigates the harmful effects of such cytokines. We investigated the use of TPE, as rescue therapy, in patients with severe Coronavirus disease 2019 (COVID-19) infection. STUDY DESIGN AND METHODS A retrospective analysis on COVID-19 patients admitted to the intensive care unit and treated with TPE from April 17, 2020 to July 2, 2020. This group was compared with COVID-19 patients who received standard therapy without TPE. The following outcomes were analyzed: changes in laboratory parameters, length of hospital stay (LOS), days on mechanical ventilation, mortality at days 14 and overall mortality. RESULTS A total of 95 patients were included, among whom 47% (n = 45) received TPE. Patients who received TPE had reductions in C-reactive protein (P = .002), ferritin (P < .001) and interleukin-6 (P = .013). After employing entropy-balancing matching method, those on TPE were also more likely to discontinue inotropes (72% vs 21%; P < .001). However, they were more likely to be associated with longer LOS (23 vs 14 days; P = .002) and longer days on ventilatory support (14 vs 8 days; P < .001). Despite marginal mortality benefit at 14-days (7.9% vs 24%; P = .071), there was no significant differences in overall mortality (21% vs 31%; P = .315) between the groups. CONCLUSIONS TPE was effective in reducing inflammatory markers in patients with severe COVID-19 infection, however, further research is warranted.
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Affiliation(s)
| | | | - Maha Al‐Yahyay
- Department of Clinical HematologyRoyal HospitalMuscatOman
| | | | | | - Huda Al‐Khalili
- Department of Anesthesia and Critical CareRoyal HospitalMuscatOman
| | - Juhi Chandwani
- Department of Anesthesia and Critical CareRoyal HospitalMuscatOman
| | | | - Ibrahim Al‐Zakwani
- Department of Pharmacology & Clinical Pharmacy, College of Medicine & Health SciencesSultan Qaboos UniversityMuscatOman
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2
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Ozaki J, Shida Y, Takayasu H, Takayasu M. Direct modelling from GPS data reveals daily-activity-dependency of effective reproduction number in COVID-19 pandemic. Sci Rep 2022; 12:17888. [PMID: 36284166 PMCID: PMC9595098 DOI: 10.1038/s41598-022-22420-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 10/14/2022] [Indexed: 01/20/2023] Open
Abstract
During the COVID-19 pandemic, governments faced difficulties in implementing mobility restriction measures, as no clear quantitative relationship between human mobility and infection spread in large cities is known. We developed a model that enables quantitative estimations of the infection risk for individual places and activities by using smartphone GPS data for the Tokyo metropolitan area. The effective reproduction number is directly calculated from the number of infectious social contacts defined by the square of the population density at each location. The difference in the infection rate of daily activities is considered, where the 'stay-out' activity, staying at someplace neither home nor workplace, is more than 28 times larger than other activities. Also, the contribution to the infection strongly depends on location. We imply that the effective reproduction number is sufficiently suppressed if the highest-risk locations or activities are restricted. We also discuss the effects of the Delta variant and vaccination.
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Affiliation(s)
- Jun’ichi Ozaki
- grid.32197.3e0000 0001 2179 2105Institute of Innovative Research, Tokyo Institute of Technology, 4259 Nagatsuta-cho, Midori-ku, Yokohama, 226-8503 Japan
| | - Yohei Shida
- grid.32197.3e0000 0001 2179 2105Department of Mathematical and Computing Science, School of Computing, Tokyo Institute of Technology, 4259 Nagatsuta-cho, Midori-ku, Yokohama, 226-8503 Japan
| | - Hideki Takayasu
- grid.32197.3e0000 0001 2179 2105Institute of Innovative Research, Tokyo Institute of Technology, 4259 Nagatsuta-cho, Midori-ku, Yokohama, 226-8503 Japan ,grid.452725.30000 0004 1764 0071Sony Computer Science Laboratories, Inc., 3-14-13, Higashigotanda, Shinagawa-ku, Tokyo, 141-0022 Japan
| | - Misako Takayasu
- grid.32197.3e0000 0001 2179 2105Institute of Innovative Research, Tokyo Institute of Technology, 4259 Nagatsuta-cho, Midori-ku, Yokohama, 226-8503 Japan ,grid.32197.3e0000 0001 2179 2105Department of Mathematical and Computing Science, School of Computing, Tokyo Institute of Technology, 4259 Nagatsuta-cho, Midori-ku, Yokohama, 226-8503 Japan
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3
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Shang Y, Wu J, Liu J, Long Y, Xie J, Zhang D, Hu B, Zong Y, Liao X, Shang X, Ding R, Kang K, Liu J, Pan A, Xu Y, Wang C, Xu Q, Zhang X, Zhang J, Liu L, Zhang J, Yang Y, Yu K, Guan X, Chen D, Chinese Society of Critical Care Medicine, Chinese Medical Association. Expert consensus on the diagnosis and treatment of severe and critical coronavirus disease 2019 (COVID-19). JOURNAL OF INTENSIVE MEDICINE 2022; 2:199-222. [PMID: 36785648 PMCID: PMC9411033 DOI: 10.1016/j.jointm.2022.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 07/24/2022] [Indexed: 12/16/2022]
Affiliation(s)
- You Shang
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China
| | - Jianfeng Wu
- Department of Critical Care Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510010, China
| | - Jinglun Liu
- Department of Emergency and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Yun Long
- Department of Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Science, Beijing 100730, China
| | - Jianfeng Xie
- Department of Critical Care Medicine, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China
| | - Dong Zhang
- Department of Critical Care Medicine, The First Hospital of Jilin University, Changchun, Jilin 130021, China
| | - Bo Hu
- Department of Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, China
| | - Yuan Zong
- Department of Critical Care Medicine, Shaanxi Provincial Hospital, Xi'an, Shannxi 710068, China
| | - Xuelian Liao
- Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Xiuling Shang
- Department of Critical Care Medicine, Fujian Provincial Hospital, Fujian Provincial Center for Critical Care Medicine, Fuzhou, Fujian 350001, China
| | - Renyu Ding
- Department of Critical Care Medicine, The First Hospital of China Medical University, Shenyang, Liaoning 110001, China
| | - Kai Kang
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China
| | - Jiao Liu
- Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Aijun Pan
- Department of Critical Care Medicine, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
| | - Yonghao Xu
- Department of Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510120, China
| | - Changsong Wang
- Department of Critical Care Medicine, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150001, China
| | - Qianghong Xu
- Department of Critical Care Medicine, Zhejiang Hospital Affiliated to Medical College of Zhejiang University, Hangzhou, Zhejiang 310013, China
| | - Xijing Zhang
- Department of Critical Care Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, Shannxi 710032, China
| | - Jicheng Zhang
- Department of Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Ling Liu
- Department of Critical Care Medicine, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China
| | - Jiancheng Zhang
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, China
| | - Yi Yang
- Department of Critical Care Medicine, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China
| | - Kaijiang Yu
- Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China
- Corresponding authors: Dechang Chen, Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China. Xiangdong Guan, Department of Critical Care Medicine, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510080, China. Kaijiang Yu, Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China.
| | - Xiangdong Guan
- Department of Critical Care Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510010, China
- Corresponding authors: Dechang Chen, Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China. Xiangdong Guan, Department of Critical Care Medicine, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510080, China. Kaijiang Yu, Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China.
| | - Dechang Chen
- Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- Corresponding authors: Dechang Chen, Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China. Xiangdong Guan, Department of Critical Care Medicine, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong 510080, China. Kaijiang Yu, Department of Critical Care Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China.
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Yang S, Tong Y, Chen L, Yu W. Human Identical Sequences, hyaluronan, and hymecromone ─ the new mechanism and management of COVID-19. MOLECULAR BIOMEDICINE 2022; 3:15. [PMID: 35593963 PMCID: PMC9120813 DOI: 10.1186/s43556-022-00077-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Accepted: 05/04/2022] [Indexed: 02/08/2023] Open
Abstract
COVID-19 caused by SARS-CoV-2 has created formidable damage to public health and market economy. Currently, SARS-CoV-2 variants has exacerbated the transmission from person-to-person. Even after a great deal of investigation on COVID-19, SARS-CoV-2 is still rampaging globally, emphasizing the urgent need to reformulate effective prevention and treatment strategies. Here, we review the latest research progress of COVID-19 and provide distinct perspectives on the mechanism and management of COVID-19. Specially, we highlight the significance of Human Identical Sequences (HIS), hyaluronan, and hymecromone ("Three-H") for the understanding and intervention of COVID-19. Firstly, HIS activate inflammation-related genes to influence COVID-19 progress through NamiRNA-Enhancer network. Accumulation of hyaluronan induced by HIS-mediated HAS2 upregulation is a substantial basis for clinical manifestations of COVID-19, especially in lymphocytopenia and pulmonary ground-glass opacity. Secondly, detection of plasma hyaluronan can be effective for evaluating the progression and severity of COVID-19. Thirdly, spike glycoprotein of SARS-CoV-2 may bind to hyaluronan and further serve as an allergen to stimulate allergic reaction, causing sudden adverse effects after vaccination or the aggravation of COVID-19. Finally, antisense oligonucleotides of HIS or inhibitors of hyaluronan synthesis (hymecromone) or antiallergic agents could be promising therapeutic agents for COVID-19. Collectively, Three-H could hold the key to understand the pathogenic mechanism and create effective therapeutic strategies for COVID-19.
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Affiliation(s)
- Shuai Yang
- Laboratory of RNA Epigenetics, Institutes of Biomedical Sciences & Shanghai Public Health Clinical Center & Department of General Surgery, Huashan Hospital, Cancer Metastasis Institute, Shanghai Medical College, Fudan University, Shanghai, 200032, People's Republic of China
- Shanghai Key Laboratory of Medical Epigenetics, Shanghai, 200032, People's Republic of China
| | - Ying Tong
- Laboratory of RNA Epigenetics, Institutes of Biomedical Sciences & Shanghai Public Health Clinical Center & Department of General Surgery, Huashan Hospital, Cancer Metastasis Institute, Shanghai Medical College, Fudan University, Shanghai, 200032, People's Republic of China
- Shanghai Key Laboratory of Medical Epigenetics, Shanghai, 200032, People's Republic of China
| | - Lu Chen
- Laboratory of RNA Epigenetics, Institutes of Biomedical Sciences & Shanghai Public Health Clinical Center & Department of General Surgery, Huashan Hospital, Cancer Metastasis Institute, Shanghai Medical College, Fudan University, Shanghai, 200032, People's Republic of China
- Shanghai Key Laboratory of Medical Epigenetics, Shanghai, 200032, People's Republic of China
| | - Wenqiang Yu
- Laboratory of RNA Epigenetics, Institutes of Biomedical Sciences & Shanghai Public Health Clinical Center & Department of General Surgery, Huashan Hospital, Cancer Metastasis Institute, Shanghai Medical College, Fudan University, Shanghai, 200032, People's Republic of China.
- Shanghai Key Laboratory of Medical Epigenetics, Shanghai, 200032, People's Republic of China.
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5
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Ray Y, Paul SR, Bandopadhyay P, D'Rozario R, Sarif J, Raychaudhuri D, Bhowmik D, Lahiri A, Vasudevan JS, Maurya R, Kanakan A, Sharma S, Kumar M, Singh P, Roy R, Chaudhury K, Maiti R, Bagchi S, Maiti A, Perwez MM, Mondal A, Tewari A, Mandal S, Roy A, Saha M, Biswas D, Maiti C, Bhaduri R, Chakraborty S, Sarkar BS, Haldar A, Saha B, Sengupta S, Pandey R, Chatterjee S, Bhattacharya P, Paul S, Ganguly D. A phase 2 single center open label randomised control trial for convalescent plasma therapy in patients with severe COVID-19. Nat Commun 2022; 13:383. [PMID: 35046397 PMCID: PMC8770561 DOI: 10.1038/s41467-022-28064-7] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 01/07/2022] [Indexed: 11/08/2022] Open
Abstract
A single center open label phase 2 randomised control trial (Clinical Trial Registry of India No. CTRI/2020/05/025209) was done to assess clinical and immunological benefits of passive immunization using convalescent plasma therapy. At the Infectious Diseases and Beleghata General Hospital in Kolkata, India, 80 patients hospitalized with severe COVID-19 disease and fulfilling the inclusion criteria (aged more than 18 years, with either mild ARDS having PaO2/FiO2 200-300 or moderate ARDS having PaO2/FiO2 100-200, not on mechanical ventilation) were recruited and randomized into either standard of care (SOC) arm (N = 40) or the convalescent plasma therapy (CPT) arm (N = 40). Primary outcomes were all-cause mortality by day 30 of enrolment and immunological correlates of response to therapy if any, for which plasma abundance of a large panel of cytokines was quantitated before and after intervention to assess the effect of CPT on the systemic hyper-inflammation encountered in these patients. The secondary outcomes were recovery from ARDS and time taken to negative viral RNA PCR as well as to report any adverse reaction to plasma therapy. Transfused convalescent plasma was characterized in terms of its neutralizing antibody content as well as proteome. The trial was completed and it was found that primary outcome of all-cause mortality was not significantly different among severe COVID-19 patients with ARDS randomized to two treatment arms (Mantel-Haenszel Hazard Ratio 0.6731, 95% confidence interval 0.3010-1.505, with a P value of 0.3424 on Mantel-Cox Log-rank test). No adverse effect was reported with CPT. In severe COVID-19 patients with mild or moderate ARDS no significant clinical benefit was registered in this clinical trial with convalescent plasma therapy in terms of prespecified outcomes.
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Affiliation(s)
- Yogiraj Ray
- Infectious Disease & Beleghata General Hospital, Kolkata, India.
- Department of Tropical Medicine, School of Tropical Medicine, Kolkata, India.
| | | | - Purbita Bandopadhyay
- IICB-Translational Research Unit of Excellence, CSIR-Indian Institute of Chemical Biology, Kolkata, India
- Academy of Scientific and Innovative Research, Ghaziabad, India
| | - Ranit D'Rozario
- IICB-Translational Research Unit of Excellence, CSIR-Indian Institute of Chemical Biology, Kolkata, India
- Academy of Scientific and Innovative Research, Ghaziabad, India
| | - Jafar Sarif
- IICB-Translational Research Unit of Excellence, CSIR-Indian Institute of Chemical Biology, Kolkata, India
- Academy of Scientific and Innovative Research, Ghaziabad, India
| | - Deblina Raychaudhuri
- IICB-Translational Research Unit of Excellence, CSIR-Indian Institute of Chemical Biology, Kolkata, India
| | - Debaleena Bhowmik
- Academy of Scientific and Innovative Research, Ghaziabad, India
- Division of Structural Biology & Bioinformatics, CSIR-Indian Institute of Chemical Biology, Kolkata, India
| | - Abhishake Lahiri
- Academy of Scientific and Innovative Research, Ghaziabad, India
- Division of Structural Biology & Bioinformatics, CSIR-Indian Institute of Chemical Biology, Kolkata, India
| | | | - Ranjeet Maurya
- CSIR-Institute of Genomics and Integrative Biology, Delhi, India
| | - Akshay Kanakan
- CSIR-Institute of Genomics and Integrative Biology, Delhi, India
| | - Sachin Sharma
- CSIR-Institute of Genomics and Integrative Biology, Delhi, India
| | - Manish Kumar
- CSIR-Institute of Genomics and Integrative Biology, Delhi, India
| | - Praveen Singh
- CSIR-Institute of Genomics and Integrative Biology, Delhi, India
| | - Rammohan Roy
- Infectious Disease & Beleghata General Hospital, Kolkata, India
| | | | - Rajsekhar Maiti
- Infectious Disease & Beleghata General Hospital, Kolkata, India
- Department of Pediatrics, Sagar Dutta Hospital & College of Medicine, Kolkata, India
| | - Saugata Bagchi
- Infectious Disease & Beleghata General Hospital, Kolkata, India
| | - Ayan Maiti
- Infectious Disease & Beleghata General Hospital, Kolkata, India
| | | | | | - Avinash Tewari
- Infectious Disease & Beleghata General Hospital, Kolkata, India
| | - Samik Mandal
- Infectious Disease & Beleghata General Hospital, Kolkata, India
| | - Arpan Roy
- Infectious Disease & Beleghata General Hospital, Kolkata, India
| | - Moumita Saha
- Infectious Disease & Beleghata General Hospital, Kolkata, India
| | - Durba Biswas
- Department of Immunohematology & Blood Transfusion, Medical College, Kolkata, India
| | - Chikam Maiti
- Department of Immunohematology & Blood Transfusion, Medical College, Kolkata, India
| | | | | | | | - Anima Haldar
- Infectious Disease & Beleghata General Hospital, Kolkata, India
| | - Bibhuti Saha
- Department of Tropical Medicine, School of Tropical Medicine, Kolkata, India
| | - Shantanu Sengupta
- Academy of Scientific and Innovative Research, Ghaziabad, India
- CSIR-Institute of Genomics and Integrative Biology, Delhi, India
| | - Rajesh Pandey
- Academy of Scientific and Innovative Research, Ghaziabad, India
- CSIR-Institute of Genomics and Integrative Biology, Delhi, India
| | - Shilpak Chatterjee
- IICB-Translational Research Unit of Excellence, CSIR-Indian Institute of Chemical Biology, Kolkata, India
| | - Prasun Bhattacharya
- Department of Immunohematology & Blood Transfusion, Medical College, Kolkata, India
| | - Sandip Paul
- Division of Structural Biology & Bioinformatics, CSIR-Indian Institute of Chemical Biology, Kolkata, India
| | - Dipyaman Ganguly
- IICB-Translational Research Unit of Excellence, CSIR-Indian Institute of Chemical Biology, Kolkata, India.
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Prasad M, Seth T, Elavarasi A. Efficacy and Safety of Convalescent Plasma for COVID-19: A Systematic Review and Meta-analysis. Indian J Hematol Blood Transfus 2021; 37:347-365. [PMID: 33746378 PMCID: PMC7961318 DOI: 10.1007/s12288-021-01417-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 02/10/2021] [Indexed: 01/07/2023] Open
Abstract
Convalescent plasma is currently being used in the treatment of COVID-19. Recommendations regarding use convalescent plasma in COVID-19 requires systematic summaries of available evidence. We searched the databases Medline, Embase, Cochrane CENTRAL, Epistomonikos, Medrxiv and Biorxiv. Title/abstract screening, full text screening and data abstraction were carried out in duplicate by two reviewers. Pooled effect sizes and 95% confidence intervals were calculated using random effects meta-analysis. GRADE tool was used to rate the certainty of evidence. Twenty two studies were found eligible for inclusion: nine randomized controlled trials and thirteen cohort studies. Low certainty evidence from eight RCTs showed inconclusive effects of convalescent plasma on mortality at 28 days (OR 0.85, 95% CI 0.61 to 1.18). Low certainty evidence from thirteen cohort studies showed a reduction in mortality at 28 days (OR 0.66, 95% CI 0.53 to 0.82). The pooled OR for clinical improvement was 1.07 (95% CI 0.86 to 1.34) representing low certainty evidence. Evidence from three RCTs showed inconclusive effect of CP on the need for mechanical ventilation (OR 1.20, 95% CI 0.72 to 1.98). Four cohort studies reporting unadjusted estimates suggested a reduction in the need for mechanical ventilation with convalescent plasma (OR 0.80 95% CI 0.71 to 0.91, low certainty). Pooled estimates from 2 RCTs showed inconclusive effects of convalescent plasma on the proportion of patients with nondetectable levels of virus in nasopharyngeal specimens on day 3 (OR 3.62, 95% CI 0.43, 30.49, very low-quality evidence). The present review reports uncertain estimates on the efficacy of convalescent plasma in the treatment of COVID-19. There is low certainty evidence of a possible reduction in mortality and mechanical ventilation, a faster viral clearance and the absence of any serious adverse events. However, its efficacy for these outcomes requires evidence from good quality and adequately powered randomized controlled trials. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s12288-021-01417-w.
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Affiliation(s)
- Manya Prasad
- Department of Community Medicine, NDMC Medical College and Hindu Rao Hospital, New Delhi, India
| | - Tulika Seth
- Department of Clinical Hematology, All India Institute of Medical Sciences, New Delhi, India
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Bansal V, Mahapure KS, Mehra I, Bhurwal A, Tekin A, Singh R, Gupta I, Rathore SS, Khan H, Deshpande S, Gulati S, Armaly P, Sheraton M, Kashyap R. Mortality Benefit of Convalescent Plasma in COVID-19: A Systematic Review and Meta-Analysis. Front Med (Lausanne) 2021; 8:624924. [PMID: 33898477 PMCID: PMC8062901 DOI: 10.3389/fmed.2021.624924] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 02/17/2021] [Indexed: 02/06/2023] Open
Abstract
Importance/Background: With a scarcity of high-grade evidence for COVID-19 treatment, researchers and health care providers across the world have resorted to classical and historical interventions. Immunotherapy with convalescent plasma (CPT) is one such therapeutic option. Methods: A systematized search was conducted for articles published between December 2019 and 18th January 2021 focusing on convalescent plasma efficacy and safety in COVID-19. The primary outcomes were defined as mortality benefit in patients treated with convalescent plasma compared to standard therapy/placebo. The secondary outcome was pooled mortality rate and the adverse event rate in convalescent plasma-treated patients. Results: A total of 27,706 patients were included in the qualitative analysis, and a total of 3,262 (2,127 in convalescent plasma-treated patients and 1,135 in the non-convalescent plasma/control group) patients died. The quantitative synthesis in 23 studies showed that the odds of mortality in patients who received plasma therapy were significantly lower than those in patients who did not receive plasma therapy [odds ratio (OR) 0.65, 95% confidence interval (CI) 0.53-0.80, p < 0.0001, I 2 = 15%). The mortality benefit remains the same even for 14 trials/prospective studies (OR 0.59, 95% CI 0.43-0.81, p = 0.001, I 2 = 22%) as well as for nine case series/retrospective observational studies (OR 0.78, 95% CI 0.65-0.94, p = 0.01, I 2 = 0%). However, in a subgroup analysis for 10 randomized controlled trials (RCTs), there was no statistically significant reduction in mortality between the CPT group compared to the non-CPT group (OR 0.76, 95% CI 0.53-1.08, p = 0.13, I 2 = 7%). Furthermore, the sensitivity analysis of 10 RCTs, excluding the study with the highest statistical weight, displayed a lower mortality rate compared to that of non-CPT COVID-19 patients (OR 0.64, 95% CI 0.42-0.97, p = 0.04, I 2 = 0%). The observed pooled mortality rate was 12.9% (95% CI 9.7-16.9%), and the pooled adverse event rate was 6.1% (95% CI 3.2-11.6), with significant heterogeneity. Conclusions and Relevance: Our systemic review and meta-analysis suggests that CPT could be an effective therapeutic option with promising evidence on the safety and reduced mortality in concomitant treatment for COVID-19 along with antiviral/antimicrobial drugs, steroids, and other supportive care. Future exploratory studies could benefit from more standardized reporting, especially in terms of the timing of interventions and clinically relevant outcomes, like days until discharge from the hospital and improvement of clinical symptoms.
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Affiliation(s)
- Vikas Bansal
- Department of Anaesthesiology and Critical Care Medicine, Mayo Clinic, Rochester, MN, United States
| | - Kiran S. Mahapure
- Senior Resident, Department of Plastic Surgery, KAHER J. N. Medical College, Belgaum, India
| | - Ishita Mehra
- Department of Internal Medicine, North Alabama Medical Center, Florence, AL, United States
| | - Abhishek Bhurwal
- Department of Gastroenterology and Hepatology, Rutgers Robert Wood Johnson School of Medicine, New Brunswick, NJ, United States
| | - Aysun Tekin
- Department of Anaesthesiology and Critical Care Medicine, Mayo Clinic, Rochester, MN, United States
| | - Romil Singh
- Department of Internal Medicine, Metropolitan Hospital, Jaipur, India
| | - Ishita Gupta
- Department of Internal Medicine, Dr. Rajendra Prasad Government Medical College, Tanda, India
| | - Sawai Singh Rathore
- Department of Internal Medicine, Dr. Sampurnanand Medical College, Jodhpur, India
| | - Hira Khan
- Department of Internal Medicine, Riphah International University Islamic International Medical College, Rawalpindi, Pakistan
| | - Sohiel Deshpande
- Department of Internal Medicine, Maharashtra Institute of Medical Education and Research, Pune, India
| | - Shivam Gulati
- Department of Internal Medicine, Adesh Institute of Medical Sciences and Research, Bathinda, India
| | - Paige Armaly
- Department of Internal Medicine, University of the West Indies, Nassau, Bahamas
| | - Mack Sheraton
- Department of Emergency Medicine, Trinity West Medical Center MSOPTI EM Program, Steubenville, OH, United States
| | - Rahul Kashyap
- Department of Anaesthesiology and Critical Care Medicine, Mayo Clinic, Rochester, MN, United States
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8
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["I better stay at home…"-health system decisions to support the use of routine healthcare during the COVID-19 pandemic]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2021; 64:277-284. [PMID: 33580268 PMCID: PMC7880208 DOI: 10.1007/s00103-021-03282-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 01/14/2021] [Indexed: 12/20/2022]
Abstract
Hintergrund In der COVID-19-Pandemie ging die Versorgung nichtübertragbarer Erkrankungen zeitweise deutlich zurück, auch weil Menschen Angst vor einer Ansteckung hatten. Wir führen eine Bestandsaufnahme zur organisationalen Gesundheitskompetenz in der Regelversorgung nichtübertragbarer Erkrankungen in der ersten Welle der COVID-19-Pandemie durch und fragen: Inwiefern wurden Menschen mit gesundheitlichen Beschwerden dabei unterstützt, gesundheitskompetente Entscheidungen für oder gegen die Inanspruchnahme von Versorgungsleistungen zu treffen? Methodik Strukturierende Inhaltsanalyse der Internetpräsenzen der Mitglieder der Arbeitsgemeinschaft der Wissenschaftlich Medizinischen Fachgesellschaften (AWMF; n = 179), der kassen(zahn)ärztlichen Vereinigungen (K(Z)Ven; n = 38), ausgewählter Krankenkassen (n = 21), ausgewählter Behandlungseinrichtungen (n = 25) und überregionaler Anbieter von Gesundheitsinformationen (n = 5) zu Informationen und Angeboten zum Thema. Ergebnisse Die geprüften Internetpräsenzen informieren weitgehend rund um COVID-19, aber nur selten darüber, wie man sich bei einer (vermuteten) anderen Erkrankung in Bezug auf die Inanspruchnahme von Versorgungsleistungen verhält. 2 Portale von Anbietern von Gesundheitsinformationen, eine Krankenkasse, aber keine der KVen bieten explizite Entscheidungshilfen an. KVen weisen öfter, aber nicht durchgängig auf die generelle Möglichkeit von Videosprechstunden hin. Diskussion Für die meisten Patient*innen gab es damit keine gezielten Informationen zu dem Thema. Angesichts der Fortdauer der COVID-19-Pandemie gilt es, vorhandene vertrauenswürdige, qualitativ hochwertige Informations- und Beratungskapazitäten auszubauen und ihre Bekanntheit zu erhöhen, um gesundheitskompetente Entscheidungen auch in der Pandemie zu ermöglichen.
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Patel U, Malik P, Shah D, Patel A, Dhamoon M, Jani V. Pre-existing cerebrovascular disease and poor outcomes of COVID-19 hospitalized patients: a meta-analysis. J Neurol 2021; 268:240-247. [PMID: 32770412 PMCID: PMC7414251 DOI: 10.1007/s00415-020-10141-w] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 07/31/2020] [Accepted: 08/04/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Due to pro-inflammatory and hypercoagulation states, COVID-19 infection is believed to increase the risk of stroke and worsen the outcomes of the patients having pre-existing cerebrovascular diseases (CeVD). There is limited literature on prevalence of pre-existing CeVD in COVID-19 patients, and outcomes are unknown. The objective of this meta-analysis is to evaluate the outcomes of COVID-19 patients with pre-existing CeVD. METHODS English full-text-observational studies having data on epidemiological characteristics of COVID-19 patients were identified searching PubMed, Web of Science, and Scopus using MeSH-terms COVID-19 OR coronavirus OR SARS-CoV-2 OR 2019-nCoV from December 1, 2019 to April 30, 2020. Studies having CeVD or stroke as one of the pre-existing comorbidities and described outcomes including intensive care unit (ICU) admission, mechanical ventilation utilization, and mortality were selected with consensus of three reviewers. Following MOOSE protocol, 11 studies were included. The pooled prevalence of CeVD and outcomes were calculated. Meta-regression was performed, and correlation coefficient (r) and odds ratio (OR) were estimated to evaluate the effects of pre-existing CeVD on outcomes of COVID-19 patients. Meta-analysis with random-effects model was used to calculate OR along with its 95% CI from the studies containing data on composite poor outcome. RESULTS Out of 8/11 studies showing data on mortality and mechanical ventilation, and 7/11 on ICU admission, pooled prevalence of pre-existing CeVD was 4.4% (244/4987). In age-adjusted meta-regression analysis, pre-existing CeVD was associated with ICU admission [r: 0.60; OR: 1.82 (1.25-2.69)], mechanical ventilation [r: 0.29; OR: 1.33 (1.09-1.63)], and mortality [r: 0.35; OR: 1.42 (1.14-1.77)] amongst COVID-19 hospitalizations. 9/11 studies reported data on binary composite outcomes, the pooled prevalence of pre-existing CeVD was 4.3% (155/3603) and 7.46% (83/1113) amongst COVID-19 hospitalizations and COVID-19 hospitalization-related poor outcomes, respectively. In meta-analysis, COVID-19 patient with pre-existing CeVD had 2.67-fold (1.75-4.06) higher odds of poor outcomes. CONCLUSION COVID-19 patients with pre-existing cerebrovascular disease have poor outcomes and extra precautions should be taken in managing such patients during the ongoing pandemic.
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Affiliation(s)
- Urvish Patel
- Department of Public Health, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY, 10029, USA
| | - Preeti Malik
- Department of Public Health, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY, 10029, USA.
| | - Dhaivat Shah
- Department of Public Health, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY, 10029, USA
| | - Achint Patel
- Department of Public Health, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY, 10029, USA
| | - Mandip Dhamoon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Vishal Jani
- Department of Neurology, Creighton University School of Medicine, Omaha, NE, USA
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